The SaaS opportunity: Accelerate time to market, growth, and innovation

The move to a SaaS model can seem overwhelming. Organizations must refactor legacy applications and architectures, which can be complex, time-consuming, and expensive. They must manage security and privacy across multiple environments and adhere to industry regulations. They may also have to identify and fill skills gaps in their teams. They must achieve this while managing costs, timelines, and the needs of their customers. Smaller organizations will feel these pressures acutely and often face constrained resources.

An impact on any of these variables can impede growth and time to market, as well as risk customer trust and loyalty. Shouldering these SaaS challenges can seem daunting, but a successful transition allows organizations to gain the agility needed to capitalize on this new era of digitization. Gartner predicts that 33 percent of enterprise software applications will include agentic AI (up from less than 1 percent in 2024), thus building a flexible foundation for development is crucial to keeping pace with AI innovations.

Companies can kickstart their SaaS journey by adopting a platform that automates the transformation of legacy software applications into highly efficient SaaS offerings. This cost-effective approach offers in-built platform features without the need to invest in technical expertise. Automation streamlines tenancy, operational, and commercial management, freeing up time and resources to focus on implementing next-gen capabilities, such as AI-driven software development and hyper-personalized user interactions.

Tenancy management can be one of the most complex and costly elements of running a multi-tenant SaaS application. For most firms, a platform featuring multi-tenancy capabilities is recommended, as this is most effective in lowering the cost-of-service delivery on a per-tenant basis.

A platform with operational management features helps companies run, secure, and scale their service, as well as support all lifecycle events such as upgrading, unsubscribing, and account deletion.

Finally, commercial management must be provided for firms to easily run subscriptions, customer lifecycles, and pricing tiers. This feature will also allow them to create and deliver monetization strategies to make the most of the service they’re delivering.

In addition to the SaaS transition concepts, companies should make sure their chosen SaaS platform provides four features:

1. Easily accessible web interface
   One of the core benefits of SaaS is flexibility, which includes being able to access services wherever and however a user demands. As such, a platform should be accessible from any device, allowing distributed workforces to monitor deployments, configure environments, and manage users on the go.
2. Strong security
   Organizations are often tasked with handling sensitive customer data, making robust privacy and security features essential. These include adherence to industry regulations such as General Data Protection Regulation (GDPR), Health Insurance Portability and Accountability Act (HIPAA), and System and Organization Controls 2 (SOC 2). Benefiting from built-in security features, software companies hosting a SaaS app on Amazon Web Services (AWS) see 43 percent fewer monthly security incidents.
3. Reliable uptime
   If a service is unavailable, it can impact user trust and risk customer churn. Meanwhile, service providers risk revenue loss and missed opportunities. Platforms must therefore maintain fast response times and availability, particularly in times of peak usage. Hosting on AWS means a 69 percent reduction in unplanned downtime to address these challenges.
4. Innovative features and new cloud capabilities
   Cloud computing and SaaS are evolving at a staggering pace. To keep up with market demand, platforms should enable and streamline adoption of new cloud features like AI, machine learning, and advanced analytics. This will open a wealth of business advantages for software companies seeking to build a competitive edge. The ability to quickly and easily integrate generative AI models alone can streamline end-to-end SaaS development cycles, enhance automation across repetitive tasks like knowledge base updates, improve customer experiences with AI-powered chatbots, and much more. It can even help grow sales pipelines by equipping sellers with valuable insights and capabilities across different activities and channels.

With the right tools to capitalize on SaaS and new technologies, the next step for organizations is to increase adoption and revenue. Making software available on digital catalogs like AWS Marketplace can help increase visibility, streamline sales, and access an extensive global customer base.

To avoid losing market traction, software companies can choose a platform—and partners—to unlock SaaS opportunities and accelerate time to market by making product development, deployment, and customer acquisition and management faster and easier. AWS supports this shift with proven best practices, training, ready-to-use AI solutions, and hands-on build and design support from AWS Partners. Learn more about how AWS gives your business the freedom to innovate and grow with SaaS.